Designing Scalable SaaS Pricing - The Rath 3×3 SaaS Pricing Framework
The Rath 3×3 SaaS Pricing Framework explains SaaS pricing across three customer tiers and three value drivers: users, compute resources, and product capability.
A public knowledge section for frameworks, technical essays, companion resources, tools, blogs, and talks on durable digital systems.
The material is organized by technical theme so readers can move from concepts to practical decisions without depending on chronology.
Primary entry points for frameworks, tools, and companion material.
Focused areas that connect frameworks, essays, tools, talks, and field notes.
Practical diagnostics, canvases, scorecards, and matrices that turn computing ideas into structured assessment and action.
Long-form frameworks, studies, and technical papers connected to the Digital Tech category tree.
The Rath 3×3 SaaS Pricing Framework explains SaaS pricing across three customer tiers and three value drivers: users, compute resources, and product capability.
A Risk-Maturity Assessment Framework (RMAF) for Green DevSecOps embeds sustainability into risk management. It assesses maturity across governance, process, technology, and culture, aligning with compliance and ESG goals for improved efficiency.
It outlines automated SBOM generation and real-time dependency checks to improve security and transparency in open-source software.
A legacy public edition of the 2012 book, preserved with 2026 context on what remains valid, what changed, and how to read it today.
Short-form writing connected to the same Digital Tech category network.
Computing maturity helps organizations understand whether their digital systems, delivery practices, security posture, data readiness, cost discipline, and governance are improving together.
Pricing a SaaS product is one of the most difficult decisions founders face. Engineering teams focus on building features. Sales teams focus on closing deals. Pricing often falls somewhere in between, shaped by competitor benchmarks or ad hoc experiments.
AI has become a mirror of humanity—amplifying our creativity, biases, and choices. This piece reflects on how intelligent systems reshape our world and how we can remain worthy of augmentation by using them with wisdom, ethics, and empathy.
Yesterday, at London Tech Week, a fellow executive told me, “We build our own AI, so third‑party risk isn’t a concern.” I understand the sentiment, but it’s dangerously incomplete.
Presentations and talks associated with the same technical themes.
On 29th November, 2025, ASBM School of Information Systems hosted the 4th National IT Symposium on “Responsible AI: Intelligent Systems for the Future”.
Spoke remotely on "Generative AI for Building Smarter Tech Foundations" at the One AI Forum in Minsk, Belarus, on November 29, 2024.
Addressed a technical session on 'DevSecOps and Platform Engineering' during the National Seminar on Recent Trends in Computing and Communications - 2024, organized at Utkal University, Bhubaneswar, on August 24, 2024.